Regression Analysis of Dependent Current Status Data with Left-Truncation Under Linear Transformation Model

• Published in: Journal of systems science and complexity Vol. 38; no. 5; pp. 2066 - 2083
• Main Authors: Zhang, Mengyue, Zhao, Shishun, Xu, Da, Hu, Tao, Sun, Jianguo
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.10.2025; Springer Nature B.V
• Subjects: Asymptotic properties; Complex Systems; Control; Failure times; Linear transformations; Mathematics; Mathematics and Statistics; Mathematics of Computing; Maximum likelihood estimation; Operations Research/Decision Theory; Regression analysis; Spline functions; Statistics; Systems Theory; informative observation; linear transformation model; Copula; left-truncation; current status data; splines

The paper discusses the regression analysis of current status data, which is common in various fields such as tumorigenic research and demographic studies. Analyzing this type of data poses a significant challenge and has recently gained considerable interest. Furthermore, the authors consider an ev...